Premkumar Kadam
Open to work3 years experienceSenior DevOps & Cloud Engineer
Senior DevOps & Cloud Engineer
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Skills & Technologies
40 skillsGitHub Activity Evidence
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Work Experience
Senior Technology Consultant | DevOps & Cloud Engineering
Ernst & Young (EY)
- Reduced mean time to recovery (MTTR) by 35% across 6 enterprise applications by standardising runbooks, automating rollback scripts in Python and Bash, and embedding structured incident response into the on-call process.
- Improved deployment success rate to 98.5% (from ~91%) by introducing pre-flight validation gates in CI/CD pipelines using Jenkins and GitLab CI, cutting failed production deployments by over 40% quarter-on-quarter.
- Accelerated post-incident root-cause analysis by 50% by building an observability dashboard in Grafana backed by Prometheus and CloudWatch metrics, reducing average investigation time from 4 hours to under 2 hours.
- Ensured 100% audit compliance across 12 monthly change windows by standardising change management documentation and coordinating cross-functional deployment reviews with application, infrastructure, and security teams.
- Reduced recurring JIRA incident backlog by 60% in the first quarter by triaging and automating resolution scripts for the top 10 repeated alert categories.
Cloud DevOps Engineer
ETP International
- Cut average build-to-deploy cycle time by 45% (from 55 min to 30 min) by designing and optimising multi-stage CI/CD pipelines in Jenkins and GitLab CI with parallelised test stages and artifact caching in Nexus.
- Reduced infrastructure provisioning time from 3 days to under 2 hours by migrating manual AWS and GCP environment setup to fully automated Terraform modules, enabling self-service environment creation for 4 product teams.
- Improved container deployment reliability by 30% across Kubernetes clusters (AWS EKS and GCP GKE) by implementing Helm chart-based releases with automated rollback policies, reducing failed pod scheduling incidents from ~12/month to under 4.
- Eliminated 100% of manual server configuration drift by writing Ansible playbooks to provision and configure MySQL, Redis, Grafana, Solr, and Nginx across dev, staging, and production environments.
- Reduced critical security vulnerabilities reaching production by 80% by integrating SonarQube (SAST) and Trivy (container image scanning) as mandatory pipeline quality gates, shifting security checks left in the SDLC.
- Decreased on-call alert noise by 55% by defining SLI/SLO thresholds in Prometheus and configuring tiered Grafana alerts, reducing false-positive pages from ~20/week to fewer than 9, and improving on- call engineer experience.
- Automated Python-based deployment health checks post-release, catching 3 silent service degradations before they escalated to P1 incidents, saving an estimated 6+ hours of unplanned downtime per quarter.
Projects
Unify Platform
- Delivered CI/CD automation and Kubernetes deployment pipelines for a Java microservices platform spanning 3 environments (dev/staging/prod), reducing manual release effort by 70%.
- Integrated Python-based post-deploy smoke tests into the GitLab CI pipeline, achieving automated go/no-go release decisions and eliminating 100% of manual post-deployment verification steps.
Ordazzle Platform
- Containerised a monolithic Java application into 8 Docker-based microservices, reducing deployment package size by 40% and enabling independent service scaling on Kubernetes.
- Stabilised CI/CD pipeline uptime to 99.2% by implementing pipeline-as-code using GitLab CI YAML, eliminating manual pipeline configuration that had caused 3+ outages per quarter.
Offline Store Application
- Automated end-to-end deployment for hybrid offline/online environments using Bash and Python scripts, cutting deployment time from 4 hours to 45 minutes across Linux and Windows target systems.
- Achieved zero SSL certificate expiry incidents across 15 production endpoints by scripting automated certificate renewal and rotation workflows.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
Certification
AWS Certified Solutions Architect – Associate
About Details
Professional Bio
Senior DevOps Engineer with 3+ years of end-to-end ownership across CI/CD pipelines, Kubernetes-based container platforms, and cloud-native infrastructure on AWS and GCP. Proven record of reducing deployment times, improving system reliability, and embedding DevSecOps practices.
Bachelor of Engineering in Computer Engineering
Pune University ( - Present)
Diploma in Computer Engineering in Computer Engineering
A.C. Patil College of Engineering ( - Present)